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An Efficient Privacy Preservation Frame Work for Big Data using IRSA

机译:使用IRSA的大数据的高效隐私保存框架工作

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Now a day's privacy preservation is the big issue on growing big data in various field such as medical, engineering and physical with the fast growing network. One of the most important challenges in handling big data is security issues. To overcome such security issues cryptographic concepts have been used in this paper to provide high security of big data's with the low consumption of time for both encryption and decryption process. In this paper the proposed method is Indexed RSA (IRSA) which is developed with modified scheme. We offered a method to index the keyword before encrypting the file and based on the indexed keyword the search has been done. Finally the security analysis was carried out and the analysis showed that our modified scheme can meet the security requirement against brute force attack and SQL injection attack.
机译:现在,一天的隐私保存是在诸如医疗,工程和物理等各种领域生长大数据的大问题。 处理大数据中最重要的挑战之一是安全问题。 为了克服此类安全问题,本文已使用加密概念,为加密和解密过程的低耗量提供大量数据的高安全性。 在本文中,所提出的方法是具有修改方案的索引RSA(IRSA)。 在加密文件之前,我们提供了一种索引关键字的方法,并基于索引关键字进行了搜索。 最后进行了安全分析,分析表明,我们的修改方案可以满足对阵暴力攻击和SQL注入攻击的安全要求。

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